Python3绘图之Matplotlib（03）

Posted 2020-12-03 既生喻何生亮(Bright)

饼图 = pie

散点图 = scatter plots

极化图 = polar charts

箭头 = Annotations

 本节代码示例

import matplotlib.pyplot as plt
plt.figure(figsize=(3, 3))
x = [45, 35, 20]
labels = [\'Cats\', \'Dogs\', \'Fishes\']
plt.pie(x, labels=labels)
plt.show()

import matplotlib.pyplot as plt
plt.figure(figsize=(3, 3))
x = [4, 9, 21, 55, 30, 18]
labels = [\'Swiss\', \'Austria\', \'Spain\', \'Italy\', \'France\', \'Benelux\']
explode = [0.2, 0.1, 0, 0, 0.1, 0]
plt.pie(x, labels=labels, explode=explode, autopct=\'%1.1f%%\')
plt.show()

# Scatter plots
import matplotlib.pyplot as plt
import numpy as np
x = np.random.randn(1000)
y = np.random.randn(1000)
plt.scatter(x, y)
plt.show()

size = 50 * np.random.randn(1000)
colors = np.random.rand(1000)
plt.scatter(x, y, s=size, c=colors)
plt.show()

# Polar charts
import matplotlib.pyplot as plt
import numpy as np
theta = np.arange(0., 2., 1./180.) * np.pi
plt.polar(3 * theta, theta / 5)
plt.polar(theta, np.cos(4*theta))
plt.polar(theta, [1.4]*len(theta))
plt.show()

import matplotlib.pyplot as plt
import numpy as np
theta = np.arange(0., 2., 1./180.) * np.pi
r = np.abs(np.sin(5*theta) - 2.*np.cos(theta))
plt.polar(theta, r)
plt.thetagrids(list(range(45, 360, 90)))
plt.rgrids(np.arange(0.2, 3.1, .7), angle=0)
plt.show()

import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0, 2*np.pi, .01)
y = np.sin(x)
plt.plot(x, y)
plt.text(0.1, -0.04, \'sin(0)=0\')
plt.show()


# Annotations

import matplotlib.pyplot as plt
y = [13, 11, 13, 12, 13, 10, 30, 12, 11, 13, 12, 12, 12, 11, 12]
plt.plot(y)
plt.ylim(ymax=35)
plt.annotate(\'This plot must really\\nmean somothing\',
            xy=(6, 30), xytext=(8, 31.5), 
             arrowprops=dict(facecolor=\'black\', shrink=.05))
plt.show()

import matplotlib.pyplot as plt
plt.axis([0, 10, 0, 20])
arrstyles = [\'-\', \'->\', \'-[\', \'<-\', \'<->\', \'fancy\', \'simple\', \'wedge\']
for i, style in enumerate(arrstyles):
    plt.annotate(style, xytext=(1, 2+2*i), xy=(4, 1+2*i),
                arrowprops=dict(arrowstyle=style))
connstyles = [\'arc\', \'arc, angleA=10, armA=30, rad=15\',
             \'arc3, rad=.2\', \'arc3, rad=-.2\', \'angle\', \'angle3\']
for i, style in enumerate(connstyles):
    plt.annotate("", xytext=(6, 2+2*i), xy=(8, 1+2*i),
                arrowprops=dict(arrowstyle=\'->\', connectionstyle=style))
plt.show()